Xeon Scalable Ice Lake P-State Governor

Intel Xeon Platinum 8380 Ice Lake P-State CPU frequency scaling Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2105267-IB-XEONSCALA38
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P-State powersave
May 23 2021
  15 Hours, 42 Minutes
P-State performance
May 24 2021
  11 Hours, 14 Minutes
intel_cpufreq schedutil
May 24 2021
  15 Hours, 54 Minutes
intel_cpufreq performance
May 25 2021
  13 Hours, 43 Minutes
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P-State powersave

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State performance

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

intel_cpufreq performance

Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 16 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP

OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Scalable Ice Lake P-State GovernorOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 099816 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN800GB INTEL SSDPF21Q800GBASPEED2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server1.0.2GCC 10.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon Scalable Ice Lake P-State Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - P-State powersave: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270 - P-State performance: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270 - intel_cpufreq schedutil: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270 - intel_cpufreq performance: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270 - Python 3.9.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performanceResult OverviewPhoronix Test Suite100%148%195%243%290%AOM AV1KvazaarPostgreSQL pgbenchSVT-VP9SVT-HEVCSVT-AV1PJSIPTimed Godot Game Engine CompilationDarmstadt Automotive Parallel Heterogeneous SuiteZstd CompressionArrayFireOpenVKLlibavif avifencTimed Linux Kernel CompilationTimed Node.js CompilationRodiniaTensorFlow LiteNAS Parallel BenchmarksQuantum ESPRESSOEmbreeOSPrayBlenderTimed LLVM CompilationIntel Open Image DenoiseTimed Mesa CompilationOpenFOAMONNX RuntimeHigh Performance Conjugate GradientStockfishGROMACSLAMMPS Molecular Dynamics SimulatorLiquid-DSPXcompact3d Incompact3dRELIONNAMDNWChemWRF

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performancePer Watt Result OverviewPhoronix Test Suite100%107%113%120%126%AOM AV1NAS Parallel BenchmarksSVT-HEVCIntel Open Image DenoiseOSPrayZstd CompressionKvazaarOpenVKLSVT-AV1StockfishEmbreeArrayFireDarmstadt Automotive Parallel Heterogeneous SuitePJSIPSVT-VP9ONNX RuntimeLiquid-DSPHigh Performance Conjugate GradientGROMACSLAMMPS Molecular Dynamics SimulatorP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

Xeon Scalable Ice Lake P-State Governorcompress-zstd: 8, Long Mode - Compression Speedkvazaar: Bosphorus 4K - Very Fastaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kpgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writeaom-av1: Speed 9 Realtime - Bosphorus 4Kpjsip: OPTIONS, Statefulpgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Writekvazaar: Bosphorus 4K - Ultra Fastsvt-hevc: 10 - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080pdaphne: OpenMP - Points2Imagesvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080pbuild-godot: Time To Compileopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkVdbVolumeavifenc: 6, Losslessdaphne: OpenMP - Euclidean Clusteropenvkl: vklBenchmarktensorflow-lite: Mobilenet Quantbuild-linux-kernel: Time To Compileospray: NASA Streamlines - SciVisbuild-nodejs: Time To Compileembree: Pathtracer ISPC - Crownnpb: FT.Cospray: San Miguel - SciVisnpb: SP.Bnpb: LU.Ccompress-zstd: 19, Long Mode - Compression Speedqe: AUSURF112compress-zstd: 19 - Compression Speedoidn: RT.hdr_alb_nrm.3840x2160blender: BMW27 - CPU-Onlyembree: Pathtracer ISPC - Asian Dragonbuild-llvm: Unix Makefilesopenfoam: Motorbike 30Mnpb: EP.Dopenvkl: vklBenchmarkUnstructuredVolumenpb: BT.Cospray: Magnetic Reconnection - SciVisblender: Barbershop - CPU-Onlynpb: IS.Dnpb: MG.Ctensorflow-lite: Inception V4build-mesa: Time To Compileembree: Pathtracer ISPC - Asian Dragon Objrodinia: OpenMP CFD Solverpjsip: OPTIONS, Statelessonnx: shufflenet-v2-10 - OpenMP CPUnpb: CG.Coidn: RT.ldr_alb_nrm.3840x2160hpcg: compress-zstd: 19 - Decompression Speedstockfish: Total Timerodinia: OpenMP LavaMDonnx: fcn-resnet101-11 - OpenMP CPUbuild-llvm: Ninjaonnx: yolov4 - OpenMP CPUoidn: RTLightmap.hdr.4096x4096blender: Classroom - CPU-Onlyarrayfire: BLAS CPUrodinia: OpenMP Streamclusterincompact3d: input.i3d 193 Cells Per Directioncompress-zstd: 19, Long Mode - Decompression Speedgromacs: MPI CPU - water_GMX50_barelammps: 20k Atomsopenfoam: Motorbike 60Mliquid-dsp: 160 - 256 - 57liquid-dsp: 128 - 256 - 57ospray: XFrog Forest - Path Tracerospray: San Miguel - Path Tracernamd: ATPase Simulation - 327,506 Atomsnpb: SP.Cnwchem: C240 Buckyballrelion: Basic - CPUrodinia: OpenMP HotSpot3Dtensorflow-lite: Inception ResNet V2wrf: conus 2.5kmincompact3d: X3D-benchmarking input.i3dospray: NASA Streamlines - Path Tracerospray: XFrog Forest - SciVispgbench: 1000 - 250 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 100 - Read Onlyliquid-dsp: 64 - 256 - 57pjsip: INVITEavifenc: 10, Losslessavifenc: 10aom-av1: Speed 6 Two-Pass - Bosphorus 4Krodinia: OpenMP Leukocytedaphne: OpenMP - NDT Mappingonnx: bertsquad-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUarrayfire: Conjugate Gradient CPUnpb: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance296.013.267.3817.0710.7232341123.5937694.2832338323.03258.65206.54210.926634.5830.546168.3875.612719744382172232637.469831.3367041126.824.881125102.19766.525190989.7390.91114946.46174911.0246.71106.6982.72.8529.72106.6219199.39814.928620.971757269191166.41111.11107.732999.72116754.1668215318.98387.20924.82741421821239485.722.8740.13592563.217703112239.815196129.2724801.3872.174538.697.71011.19165662711.68.99935.495105.033073933333327013333310.3810.420.2709391313.601882.3350.266104.3395720659892.42290.41110227.7818.870.2779064340.256393329302990000025488.8335.2053.9469.049742.3050968984.2926051.901011.938.2119.0948.623.7746649361.06103621.5886304946.31576.99453.67460.4413527.23899643056.887305.7748.1571060564582999653930.3451020.7781133656.321.486142.8690.85074.0551100543.72100123544.09187300.4749.11178.5286.72.9328.40107.6307190.68514.798920.101803840197815.31114.81105.103014.77120084.2766370718.49789.08954.74642389839240261.262.9340.64712561.817713142839.423194127.3214831.4071.274539.997.81611.05545092677.99.05235.825104.763085100000329300000010.3110.450.2716891817.761888.2349.993104.1855721499885.556290.14333127.7818.870.2719241900.0811236713306613333353937.2484.3419.6946.358924.8447766266.1317610.18311.711.305.8615.903.8146572621.7237972.7403657720.53345.48260.25262.787077.7635.480193.8053.001779976282359924931.987884.7571835239.022.19012591.85767.754091970.9990.91115501.41177878.6846.11156.4981.52.7829.25102.7043191.17315.078634.301748017191705.02111.11107.392926.26117869.4967225418.75487.99274.71041743833439430.662.8840.06592594.717544618239.199194127.6884831.3872.244510.297.71211.20541792693.49.04235.792105.103082533333329146666710.3110.380.2722791642.331880349.436104.1845716329889.907290.41669727.7818.870.2858853790.0811228570300312500025408.4865.1344.0063.286743.0150467566.4546157.581018.638.2619.2048.913.7916618661.27104091.5946282646.34574.88457.02464.7113249.67869587556.750309.1348.6511067046413001631830.0141021.6282133581.321.410142.8691.08174.2420100763.11100123176.72186973.0648.31175.6983.12.9328.28106.1736191.80114.498938.091809667197821.88112.96104.512978.52120124.0567742118.51789.49054.72942338838040226.022.9340.83112609.717862947439.746197127.3324761.4071.224574.837.72711.05617482713.19.10235.849104.273096700000329340000010.3110.420.2705191830.561882.2349.028104.0885726799875.264289.97558627.7818.870.2888764620.0811231983307260000054167.2764.34010.0147.105914.7050369554.0057705.44OpenBenchmarking.org

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speedintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil2004006008001000SE +/- 2.28, N = 3SE +/- 0.62, N = 3SE +/- 4.09, N = 3SE +/- 2.96, N = 31015.8296.01011.9311.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speedintel_cpufreq performance0.93581.87162.80743.74324.6794.159

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.07, N = 413.2638.2111.3038.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.02250.0450.06750.090.11250.0950.0980.0840.100
MinAvgMaxP-State powersave80121632304P-State performance318733273403intel_cpufreq schedutil110420653400intel_cpufreq performance220632663403OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.1139.8156.9P-State performance211.4388.5491.7intel_cpufreq schedutil70.9134.1148.8intel_cpufreq performance169.5382.7492.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 1631 Joules per run.2. P-State performance: Approximate power consumption of 1748 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1787 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1722 Joules per run.
MinAvgMaxP-State powersave38.040.643.0P-State performance48.058.665.0intel_cpufreq schedutil38.040.943.0intel_cpufreq performance46.058.266.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 37.3819.095.8619.201. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0650.0670.0520.067
MinAvgMaxP-State powersave80121302305P-State performance340034033404intel_cpufreq schedutil100117883403intel_cpufreq performance340334043422OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.3114.4126.6P-State performance148.8283.3319.8intel_cpufreq schedutil60.7111.7120.3intel_cpufreq performance153.7285.8321.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 2402 Joules per run.2. P-State performance: Approximate power consumption of 2456 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2905 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2477 Joules per run.
MinAvgMaxP-State powersave30.032.834.0P-State performance43.044.846.0intel_cpufreq schedutil34.036.538.0intel_cpufreq performance45.048.756.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1632486480

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.02, N = 3SE +/- 0.30, N = 4SE +/- 0.03, N = 3SE +/- 0.52, N = 417.0748.6215.9048.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04280.08560.12840.17120.2140.1630.1900.1510.190
MinAvgMaxP-State powersave80117942287P-State performance340334043407intel_cpufreq schedutil81013723202intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.7104.9115.9P-State performance186.2255.5299.2intel_cpufreq schedutil67.0105.1114.8intel_cpufreq performance181.7257.1310.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 1049 Joules per run.2. P-State performance: Approximate power consumption of 1086 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1121 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1093 Joules per run.
MinAvgMaxP-State powersave29.031.232.0P-State performance44.044.345.0intel_cpufreq schedutil34.035.937.0intel_cpufreq performance45.045.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1428425670

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.023, N = 310.7233.7743.8143.7911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80127923405P-State performance300033603410intel_cpufreq schedutil182733023407intel_cpufreq performance218533503409OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.0170.9220.2P-State performance152.8240.5481.6intel_cpufreq schedutil60.8227.0477.6intel_cpufreq performance151.9243.7478.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 4500 Joules per run.2. P-State performance: Approximate power consumption of 5933 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 5752 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6011 Joules per run.
MinAvgMaxP-State powersave39.043.247.0P-State performance45.047.356.0intel_cpufreq schedutil42.047.357.0intel_cpufreq performance50.052.862.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 156.62, N = 3SE +/- 391.43, N = 3SE +/- 301.39, N = 3SE +/- 405.25, N = 3234116649365726661861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670SE +/- 0.22, N = 3SE +/- 0.27, N = 5SE +/- 0.16, N = 15SE +/- 0.43, N = 523.5961.0621.7261.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0560.1120.1680.2240.280.2250.2450.2080.249
MinAvgMaxP-State powersave80118332301P-State performance340334033404intel_cpufreq schedutil80115282303intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.6105.0116.9P-State performance190.4249.4290.0intel_cpufreq schedutil62.7104.3119.1intel_cpufreq performance148.3246.5288.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 805 Joules per run.2. P-State performance: Approximate power consumption of 898 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 849 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 887 Joules per run.
MinAvgMaxP-State powersave29.030.331.0P-State performance45.045.246.0intel_cpufreq schedutil35.036.638.0intel_cpufreq performance46.047.153.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1530456075

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 31.56, N = 3SE +/- 0.58, N = 3SE +/- 13.93, N = 3SE +/- 6.00, N = 33769103623797104091. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405038.1245.8738.2345.12
MinAvgMaxP-State powersave8018582300P-State performance340334053428intel_cpufreq schedutil80215102300intel_cpufreq performance340034073483OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.598.9107.7P-State performance185.9225.9244.3intel_cpufreq schedutil63.599.3109.9intel_cpufreq performance167.0230.7260.3OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 1648 Joules per run.2. P-State performance: Approximate power consumption of 3615 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1622 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3614 Joules per run.
MinAvgMaxP-State powersave33.034.536.0P-State performance44.044.345.0intel_cpufreq schedutil35.036.538.0intel_cpufreq performance47.051.353.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1530456075

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.96371.92742.89113.85484.8185SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.035, N = 3SE +/- 0.004, N = 34.2831.5882.7401.5941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80127593405P-State performance300033613413intel_cpufreq schedutil141230643405intel_cpufreq performance300033673431OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.8175.7221.6P-State performance154.0236.4436.7intel_cpufreq schedutil55.9187.1309.9intel_cpufreq performance150.2238.2441.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 4510 Joules per run.2. P-State performance: Approximate power consumption of 5753 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4740 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5875 Joules per run.
MinAvgMaxP-State powersave41.046.652.0P-State performance44.049.057.0intel_cpufreq schedutil39.044.750.0intel_cpufreq performance48.051.358.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 51.95, N = 3SE +/- 272.63, N = 3SE +/- 464.84, N = 3SE +/- 148.39, N = 3233836304936577628261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.14, N = 3SE +/- 0.31, N = 15SE +/- 0.06, N = 3SE +/- 0.56, N = 423.0346.3120.5346.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.03890.07780.11670.15560.19450.1730.1350.1550.138
MinAvgMaxP-State powersave80121752300P-State performance311732983403intel_cpufreq schedutil114122222303intel_cpufreq performance310132943404OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave57.1133.2155.1P-State performance183.3343.8438.5intel_cpufreq schedutil55.9132.0150.2intel_cpufreq performance191.2335.5439.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 933 Joules per run.2. P-State performance: Approximate power consumption of 1329 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1012 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1342 Joules per run.
MinAvgMaxP-State powersave36.038.339.0P-State performance54.060.765.0intel_cpufreq schedutil37.038.739.0intel_cpufreq performance54.060.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120240360480600SE +/- 1.12, N = 9SE +/- 0.97, N = 11SE +/- 3.58, N = 15SE +/- 1.99, N = 11258.65576.99345.48574.881. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.66111.32221.98332.64443.30552.6382.5412.9382.517
MinAvgMaxP-State powersave80119222302P-State performance340034033405intel_cpufreq schedutil230026973403intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.698.1138.3P-State performance149.6227.0275.3intel_cpufreq schedutil56.9117.6166.9intel_cpufreq performance161.5228.4274.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 174 Joules per run.2. P-State performance: Approximate power consumption of 310 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 196 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 311 Joules per run.
MinAvgMaxP-State powersave31.033.136.0P-State performance47.048.957.0intel_cpufreq schedutil37.039.044.0intel_cpufreq performance48.050.360.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.53, N = 7SE +/- 4.77, N = 15SE +/- 2.47, N = 15SE +/- 3.11, N = 13206.54453.67260.25457.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.46710.93421.40131.86842.33551.9391.9222.0761.919
MinAvgMaxP-State powersave80117142305P-State performance340334033405intel_cpufreq schedutil80124303396intel_cpufreq performance340034033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.7106.5160.7P-State performance171.6236.0292.6intel_cpufreq schedutil64.8125.4194.5intel_cpufreq performance158.6238.2290.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 243 Joules per run.2. P-State performance: Approximate power consumption of 362 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 251 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 385 Joules per run.
MinAvgMaxP-State powersave30.032.136.0P-State performance46.048.055.0intel_cpufreq schedutil36.039.343.0intel_cpufreq performance47.049.055.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.16, N = 7SE +/- 2.03, N = 10SE +/- 2.52, N = 15SE +/- 2.50, N = 10210.92460.44262.78464.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.45720.91441.37161.82882.2862.0291.9922.0321.999
MinAvgMaxP-State powersave80118002300P-State performance340334033404intel_cpufreq schedutil230025563404intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave53.7104.0158.2P-State performance152.0231.2283.3intel_cpufreq schedutil61.7129.3201.5intel_cpufreq performance176.9232.4289.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 223 Joules per run.2. P-State performance: Approximate power consumption of 347 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 259 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 372 Joules per run.
MinAvgMaxP-State powersave30.031.333.0P-State performance46.047.953.0intel_cpufreq schedutil36.038.543.0intel_cpufreq performance47.048.655.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3K6K9K12K15KSE +/- 86.30, N = 3SE +/- 114.27, N = 15SE +/- 115.67, N = 12SE +/- 100.42, N = 156634.5813527.247077.7613249.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance122436486042.6251.3645.6750.29
MinAvgMaxP-State powersave80226203390P-State performance340034033410intel_cpufreq schedutil87126123399intel_cpufreq performance340134033407OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave80.0155.7242.9P-State performance160.0263.4291.5intel_cpufreq schedutil60.9155.0248.1intel_cpufreq performance154.1263.4299.3OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 4670 Joules per run.2. P-State performance: Approximate power consumption of 5549 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.
MinAvgMaxP-State powersave35.037.542.0P-State performance46.051.954.0intel_cpufreq schedutil37.041.747.0intel_cpufreq performance48.054.163.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor20406080100

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265SE +/- 0.20, N = 3SE +/- 0.24, N = 4SE +/- 0.47, N = 3SE +/- 0.31, N = 430.5556.8935.4856.751. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04390.08780.13170.17560.21950.1950.1860.1830.185
MinAvgMaxP-State powersave80121692307P-State performance340034033408intel_cpufreq schedutil230027423405intel_cpufreq performance340034033406OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.4156.5236.6P-State performance185.5305.7490.5intel_cpufreq schedutil74.6193.4332.0intel_cpufreq performance162.8306.0496.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 1200 Joules per run.2. P-State performance: Approximate power consumption of 1375 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1289 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1377 Joules per run.
MinAvgMaxP-State powersave39.042.447.0P-State performance48.053.263.0intel_cpufreq schedutil44.048.353.0intel_cpufreq performance47.053.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350SE +/- 1.49, N = 8SE +/- 0.58, N = 10SE +/- 1.34, N = 15SE +/- 1.23, N = 10168.38305.77193.80309.131. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.32870.65740.98611.31481.64351.4611.1981.4491.216
MinAvgMaxP-State powersave80115992308P-State performance340334033403intel_cpufreq schedutil142924503400intel_cpufreq performance340034033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.7115.2180.8P-State performance193.9255.3332.3intel_cpufreq schedutil68.6133.7182.9intel_cpufreq performance175.6254.1330.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 245 Joules per run.2. P-State performance: Approximate power consumption of 383 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 267 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 407 Joules per run.
MinAvgMaxP-State powersave33.036.840.0P-State performance49.051.358.0intel_cpufreq schedutil39.043.248.0intel_cpufreq performance50.053.160.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.95, N = 3SE +/- 0.18, N = 3SE +/- 0.49, N = 3SE +/- 0.28, N = 375.6148.1653.0048.65
MinAvgMaxP-State powersave80229353406P-State performance310033683410intel_cpufreq schedutil98732463407intel_cpufreq performance300333743409OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75.2239.0575.6P-State performance179.1342.3599.5intel_cpufreq schedutil67.5304.2563.4intel_cpufreq performance160.0344.2580.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 4541 Joules per run.2. P-State performance: Approximate power consumption of 4107 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4158 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4131 Joules per run.
MinAvgMaxP-State powersave33.044.363.0P-State performance44.054.967.0intel_cpufreq schedutil32.053.668.0intel_cpufreq performance49.057.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature Monitor20406080100

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20M40M60M80M100MSE +/- 799905.44, N = 4SE +/- 57856.16, N = 3SE +/- 444572.22, N = 3SE +/- 497134.18, N = 37197443810605645877997628106704641MIN: 1304623 / MAX: 672770484MIN: 1396156 / MAX: 908416224MIN: 1380198 / MAX: 693620172MIN: 1343151 / MAX: 909146052
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90K180K270K360K450K424481.55438562.32418290.31436355.85
MinAvgMaxP-State powersave80128663407P-State performance340334033408intel_cpufreq schedutil143030763408intel_cpufreq performance340034053410OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave70.7169.6254.7P-State performance150.8241.8326.7intel_cpufreq schedutil69.4186.5255.9intel_cpufreq performance171.6244.5315.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 2204 Joules per run.2. P-State performance: Approximate power consumption of 2983 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2424 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2934 Joules per run.
MinAvgMaxP-State powersave38.042.952.0P-State performance47.049.859.0intel_cpufreq schedutil41.044.955.0intel_cpufreq performance50.052.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6M12M18M24M30MSE +/- 47580.68, N = 3SE +/- 268896.33, N = 15SE +/- 38895.86, N = 3SE +/- 349026.46, N = 1521722326299965392359924930016318MIN: 1031810 / MAX: 151043112MIN: 979600 / MAX: 247803840MIN: 1060641 / MAX: 156949416MIN: 979586 / MAX: 253907928
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150K123147.50125723.06118699.08126322.91
MinAvgMaxP-State powersave80129933400P-State performance340234043411intel_cpufreq schedutil170232413405intel_cpufreq performance340034043410OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave70.7176.4222.9P-State performance147.7238.6361.2intel_cpufreq schedutil71.3198.8249.7intel_cpufreq performance160.5237.6341.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. P-State powersave: Approximate power consumption of 2999 Joules per run.2. P-State performance: Approximate power consumption of 4024 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3446 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3992 Joules per run.
MinAvgMaxP-State powersave43.047.655.0P-State performance46.050.562.0intel_cpufreq schedutil42.048.156.0intel_cpufreq performance45.046.958.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.28, N = 15SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 337.4730.3531.9930.011. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80132103409P-State performance340334063442intel_cpufreq schedutil142132853409intel_cpufreq performance340334053410OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.2268.1414.9P-State performance151.5312.4462.5intel_cpufreq schedutil68.2281.5459.7intel_cpufreq performance166.8314.9476.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 2628 Joules per run.2. P-State performance: Approximate power consumption of 2500 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2440 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2519 Joules per run.
MinAvgMaxP-State powersave35.054.171.0P-State performance51.053.858.0intel_cpufreq schedutil35.055.169.0intel_cpufreq performance55.061.973.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 7.84, N = 15SE +/- 2.39, N = 3SE +/- 9.84, N = 15SE +/- 1.25, N = 3831.331020.77884.751021.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.02352.0473.07054.0945.11754.5493.7784.4913.816
MinAvgMaxP-State powersave80128753406P-State performance340334033406intel_cpufreq schedutil139129723405intel_cpufreq performance340334033404OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.2182.8261.7P-State performance211.6270.2317.9intel_cpufreq schedutil75.6197.0300.8intel_cpufreq performance209.8267.7311.3OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 1304 Joules per run.2. P-State performance: Approximate power consumption of 1621 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.
MinAvgMaxP-State powersave37.041.447.0P-State performance47.049.352.0intel_cpufreq schedutil41.046.450.0intel_cpufreq performance47.049.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1530456075

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 2.19, N = 3SE +/- 2.67, N = 3SE +/- 8.72, N = 3SE +/- 2.40, N = 3670811718821MIN: 1 / MAX: 2830MIN: 1 / MAX: 3166MIN: 1 / MAX: 3134MIN: 1 / MAX: 3226
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.82241.64482.46723.28964.1123.5362.8963.6552.914
MinAvgMaxP-State powersave80127643436P-State performance300233793428intel_cpufreq schedutil80127083426intel_cpufreq performance300233883424OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave66.8189.5352.9P-State performance176.7280.1541.6intel_cpufreq schedutil72.2196.4369.2intel_cpufreq performance177.1281.8555.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 30316 Joules per run.2. P-State performance: Approximate power consumption of 30530 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 30579 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 29679 Joules per run.
MinAvgMaxP-State powersave38.043.556.0P-State performance48.054.265.0intel_cpufreq schedutil42.047.961.0intel_cpufreq performance51.056.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 711.79, N = 12SE +/- 117.93, N = 3SE +/- 352.77, N = 3SE +/- 61.65, N = 341126.833656.335239.033581.3
MinAvgMaxP-State powersave80129563103P-State performance300030313403intel_cpufreq schedutil300030333403intel_cpufreq performance300030503404OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave131.0517.4615.0P-State performance202.3520.5620.3intel_cpufreq schedutil190.6514.3606.9intel_cpufreq performance149.4516.0608.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 7545 Joules per run.2. P-State performance: Approximate power consumption of 7287 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.
MinAvgMaxP-State powersave50.068.372.0P-State performance55.069.173.0intel_cpufreq schedutil51.067.471.0intel_cpufreq performance50.068.873.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance612182430SE +/- 0.38, N = 15SE +/- 0.24, N = 5SE +/- 0.19, N = 14SE +/- 0.19, N = 724.8821.4922.1921.41
MinAvgMaxP-State powersave80124553405P-State performance277132903409intel_cpufreq schedutil230132603408intel_cpufreq performance287032693408OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59255630P-State performance167337635intel_cpufreq schedutil81319635intel_cpufreq performance180338641OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 2214 Joules per run.2. P-State performance: Approximate power consumption of 2358 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2231 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2272 Joules per run.
MinAvgMaxP-State powersave40.051.966.0P-State performance50.057.668.0intel_cpufreq schedutil45.057.970.0intel_cpufreq performance51.059.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9125.00142.86125.00142.86MIN: 30.3 / MAX: 142.86MIN: 31.25MIN: 29.41 / MAX: 142.86MIN: 31.25
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.13750.2750.41250.550.68750.6110.5200.5280.513
MinAvgMaxP-State powersave80120123400P-State performance340034033408intel_cpufreq schedutil220730533404intel_cpufreq performance264033163405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave92.4204.5351.9P-State performance153.5274.6384.7intel_cpufreq schedutil95.1236.6359.0intel_cpufreq performance155.8278.3386.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1002003004005001. P-State performance: Approximate power consumption of 488 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 495 Joules per run.
MinAvgMaxP-State powersave51.054.867.0P-State performance55.059.670.0intel_cpufreq schedutil53.057.669.0intel_cpufreq performance56.060.371.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.59, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3102.2090.8591.8691.08
MinAvgMaxP-State powersave80129473408P-State performance280631503408intel_cpufreq schedutil220031313408intel_cpufreq performance278031473406OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75367608P-State performance153427615intel_cpufreq schedutil131414632intel_cpufreq performance191428625OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 9294 Joules per run.2. P-State performance: Approximate power consumption of 9247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 9119 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 9135 Joules per run.
MinAvgMaxP-State powersave44.061.075.0P-State performance52.066.276.0intel_cpufreq schedutil49.064.775.0intel_cpufreq performance54.065.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature Monitor20406080100

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.21, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.34, N = 566.5374.0667.7574.24MIN: 59.75 / MAX: 87.7MIN: 64.5 / MAX: 94.28MIN: 60.74 / MAX: 88.34MIN: 64.44 / MAX: 93.9
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04480.08960.13440.17920.2240.1830.1850.1990.181
MinAvgMaxP-State powersave80123842984P-State performance268530943404intel_cpufreq schedutil180026593400intel_cpufreq performance272330983409OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave109.8362.7513.8P-State performance198.9399.5489.3intel_cpufreq schedutil121.3340.0510.0intel_cpufreq performance191.2410.3575.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 1088 Joules per run.2. P-State performance: Approximate power consumption of 1199 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1088 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1231 Joules per run.
MinAvgMaxP-State powersave50.060.567.0P-State performance53.064.471.0intel_cpufreq schedutil53.062.569.0intel_cpufreq performance54.065.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 842.11, N = 7SE +/- 83.85, N = 7SE +/- 807.72, N = 7SE +/- 63.65, N = 790989.73100543.7291970.99100763.111. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300296.44285.10280.10293.75
MinAvgMaxP-State powersave80124993300P-State performance320233593403intel_cpufreq schedutil217632233405intel_cpufreq performance229432983405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave76.0306.9553.3P-State performance172.6352.7574.1intel_cpufreq schedutil116.2328.4543.4intel_cpufreq performance177.4343.0548.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 789 Joules per run.2. P-State performance: Approximate power consumption of 806 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 844 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 735 Joules per run.
MinAvgMaxP-State powersave48.055.363.0P-State performance57.062.970.0intel_cpufreq schedutil49.056.567.0intel_cpufreq performance55.061.268.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 390.91100.0090.91100.00MIN: 58.82 / MAX: 100MIN: 62.5 / MAX: 111.11MIN: 47.62 / MAX: 100MIN: 55.56 / MAX: 111.11
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4420.4410.440
MinAvgMaxP-State powersave80232183401P-State performance340034033404intel_cpufreq schedutil230232833406intel_cpufreq performance258533643404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave112.6203.9296.9P-State performance166.4226.3422.1intel_cpufreq schedutil91.4206.0408.3intel_cpufreq performance178.3227.4428.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1102203304405501. P-State powersave: Approximate power consumption of 1427 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1511 Joules per run.
MinAvgMaxP-State powersave48.051.061.0P-State performance49.051.554.0intel_cpufreq schedutil47.052.761.0intel_cpufreq performance51.053.155.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 480.22, N = 8SE +/- 134.33, N = 9SE +/- 203.66, N = 8SE +/- 133.35, N = 9114946.46123544.09115501.41123176.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500458.43369.71441.37372.37
MinAvgMaxP-State powersave80225843301P-State performance310133863404intel_cpufreq schedutil229931863403intel_cpufreq performance340134033403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave104.7250.7444.1P-State performance151.7334.2435.1intel_cpufreq schedutil103.8261.7454.3intel_cpufreq performance196.0330.8404.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 501 Joules per run.2. P-State performance: Approximate power consumption of 668 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 523 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 662 Joules per run.
MinAvgMaxP-State powersave49.052.259.0P-State performance55.062.270.0intel_cpufreq schedutil50.052.755.0intel_cpufreq performance55.061.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 1423.68, N = 4SE +/- 364.13, N = 4SE +/- 196.76, N = 4SE +/- 495.98, N = 4174911.02187300.47177878.68186973.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500478.36440.34467.72445.54
MinAvgMaxP-State powersave80228843300P-State performance310532673403intel_cpufreq schedutil187231463404intel_cpufreq performance310432883403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave84.6365.6554.0P-State performance190.2425.4593.0intel_cpufreq schedutil134.8380.3554.5intel_cpufreq performance195.4419.7579.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 1463 Joules per run.2. P-State performance: Approximate power consumption of 1595 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1521 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1574 Joules per run.
MinAvgMaxP-State powersave47.058.869.0P-State performance55.066.673.0intel_cpufreq schedutil47.060.768.0intel_cpufreq performance54.065.272.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.32, N = 15SE +/- 0.21, N = 3SE +/- 0.46, N = 6SE +/- 0.20, N = 346.749.146.148.31. (CC) gcc options: -O3 -pthread -lz -llzma

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30060090012001500SE +/- 19.34, N = 9SE +/- 1.74, N = 3SE +/- 22.92, N = 9SE +/- 17.96, N = 91106.691178.521156.491175.691. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 3232.42 / Max: 3439Min: 3103 / Avg: 3296.48 / Max: 3518Min: 1730 / Avg: 3291.57 / Max: 3413Min: 3104 / Avg: 3274.2 / Max: 3471
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 175.37 / Avg: 445.55 / Max: 632.581. P-State powersave: Approximate power consumption of 113750 Joules per run.2. P-State performance: Approximate power consumption of 123045 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 121202 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 43 / Avg: 64.58 / Max: 79Min: 48 / Avg: 64.61 / Max: 75Min: 46 / Avg: 65.52 / Max: 77Min: 47 / Avg: 66.29 / Max: 78

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.55, N = 3SE +/- 0.75, N = 15SE +/- 0.75, N = 15SE +/- 0.32, N = 382.786.781.583.11. (CC) gcc options: -O3 -pthread -lz -llzma

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 15SE +/- 0.00, N = 52.852.932.782.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.008
MinAvgMaxP-State powersave80120263174P-State performance263632233404intel_cpufreq schedutil108828543403intel_cpufreq performance293132863405OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave84.7307.4558.3P-State performance154.8346.3560.7intel_cpufreq schedutil59.7321.9551.2intel_cpufreq performance158.5349.7562.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 1153 Joules per run.2. P-State performance: Approximate power consumption of 1247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1202 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1259 Joules per run.
MinAvgMaxP-State powersave49.058.168.0P-State performance55.062.173.0intel_cpufreq schedutil50.060.172.0intel_cpufreq performance55.062.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 329.7228.4029.2528.28
MinAvgMaxP-State powersave80127043408P-State performance279331403408intel_cpufreq schedutil279231073406intel_cpufreq performance278631273405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave147424635P-State performance161451609intel_cpufreq schedutil149437595intel_cpufreq performance159452618OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 3393 Joules per run.2. P-State performance: Approximate power consumption of 3455 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3498 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3466 Joules per run.
MinAvgMaxP-State powersave53.067.675.0P-State performance56.068.674.0intel_cpufreq schedutil56.068.474.0intel_cpufreq performance56.069.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.79, N = 6SE +/- 0.42, N = 6SE +/- 0.80, N = 6SE +/- 0.56, N = 6106.62107.63102.70106.17MIN: 84.26 / MAX: 112.87MIN: 88.63 / MAX: 112.78MIN: 81.43 / MAX: 111.73MIN: 84.09 / MAX: 112.29
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0650.130.1950.260.3250.2890.2740.2740.264
MinAvgMaxP-State powersave80123773012P-State performance266631383403intel_cpufreq schedutil138126033400intel_cpufreq performance265131443405OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave141.2368.4592.4P-State performance154.3392.3597.7intel_cpufreq schedutil157.4374.6575.1intel_cpufreq performance166.4402.7597.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 982 Joules per run.2. P-State performance: Approximate power consumption of 981 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 999 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1007 Joules per run.
MinAvgMaxP-State powersave52.062.470.0P-State performance55.063.771.0intel_cpufreq schedutil57.065.471.0intel_cpufreq performance56.065.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 1.18, N = 3SE +/- 1.07, N = 3SE +/- 1.14, N = 3SE +/- 0.59, N = 3199.40190.69191.17191.80
MinAvgMaxP-State powersave80230953407P-State performance284333193409intel_cpufreq schedutil230232993410intel_cpufreq performance219633113413OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave76346598P-State performance184392610intel_cpufreq schedutil89370606intel_cpufreq performance185393629OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 18937 Joules per run.2. P-State performance: Approximate power consumption of 18410 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 18646 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 18456 Joules per run.
MinAvgMaxP-State powersave40.060.376.0P-State performance49.064.676.0intel_cpufreq schedutil42.062.975.0intel_cpufreq performance50.064.476.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance48121620SE +/- 0.06, N = 3SE +/- 0.15, N = 15SE +/- 0.14, N = 7SE +/- 0.01, N = 314.9214.7915.0714.491. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMaxP-State powersave80228363400P-State performance300332273409intel_cpufreq schedutil196631393404intel_cpufreq performance300332313408OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave94309570P-State performance158384578intel_cpufreq schedutil91350570intel_cpufreq performance152395641OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 2571 Joules per run.2. P-State performance: Approximate power consumption of 2714 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2753 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2762 Joules per run.
MinAvgMaxP-State powersave43.053.267.0P-State performance54.064.374.0intel_cpufreq schedutil46.059.571.0intel_cpufreq performance52.061.871.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 65.72, N = 3SE +/- 60.08, N = 13SE +/- 22.19, N = 3SE +/- 38.79, N = 48620.978920.108634.308938.091. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202520.7419.4920.0819.33
MinAvgMaxP-State powersave80125913011P-State performance300131443403intel_cpufreq schedutil80229453403intel_cpufreq performance300531583404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.1415.6569.8P-State performance165.5457.8585.0intel_cpufreq schedutil72.0429.9565.8intel_cpufreq performance184.4462.4576.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2217 Joules per run.2. P-State performance: Approximate power consumption of 2289 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2150 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2312 Joules per run.
MinAvgMaxP-State powersave37.055.367.0P-State performance51.069.276.0intel_cpufreq schedutil38.057.968.0intel_cpufreq performance50.066.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance400K800K1200K1600K2000KSE +/- 19689.28, N = 3SE +/- 8888.13, N = 3SE +/- 4960.83, N = 3SE +/- 4355.52, N = 31757269180384017480171809667MIN: 18102 / MAX: 5872318MIN: 24013 / MAX: 5810552MIN: 13879 / MAX: 5825120MIN: 24362 / MAX: 5849692
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance160032004800640080007267.586287.407409.476326.14
MinAvgMaxP-State powersave80132623422P-State performance340334043424intel_cpufreq schedutil143332083416intel_cpufreq performance340334043432OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.5241.8276.8P-State performance166.0286.9341.6intel_cpufreq schedutil61.0235.9281.7intel_cpufreq performance150.1286.1358.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1002003004005001. P-State powersave: Approximate power consumption of 51825 Joules per run.2. P-State performance: Approximate power consumption of 56614 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 52924 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 56259 Joules per run.
MinAvgMaxP-State powersave39.050.056.0P-State performance46.053.960.0intel_cpufreq schedutil40.052.162.0intel_cpufreq performance48.055.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 416.58, N = 4SE +/- 313.16, N = 4SE +/- 322.38, N = 4SE +/- 230.36, N = 4191166.41197815.31191705.02197821.881. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500473.91454.64475.18445.67
MinAvgMaxP-State powersave80230133300P-State performance310732683404intel_cpufreq schedutil153431593405intel_cpufreq performance310732833406OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.1403.4562.2P-State performance142.1435.1592.6intel_cpufreq schedutil62.8403.4562.6intel_cpufreq performance137.8443.9612.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2017 Joules per run.2. P-State performance: Approximate power consumption of 1958 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2017 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1997 Joules per run.
MinAvgMaxP-State powersave28.050.765.0P-State performance36.056.067.0intel_cpufreq schedutil28.052.366.0intel_cpufreq performance36.055.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 8SE +/- 1.64, N = 15SE +/- 0.00, N = 8SE +/- 1.26, N = 15111.11114.81111.11112.96MIN: 22.22MIN: 24.39 / MAX: 125MIN: 22.73MIN: 26.32 / MAX: 125
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.12850.2570.38550.5140.64250.5710.3650.5700.370
MinAvgMaxP-State powersave80119862628P-State performance296833633404intel_cpufreq schedutil101922693267intel_cpufreq performance220933213403OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.6194.7334.6P-State performance174.6314.4422.6intel_cpufreq schedutil70.1194.9328.7intel_cpufreq performance154.4305.6423.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1102203304405501. P-State powersave: Approximate power consumption of 365 Joules per run.2. P-State performance: Approximate power consumption of 503 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 390 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 489 Joules per run.
MinAvgMaxP-State powersave41.045.654.0P-State performance46.054.064.0intel_cpufreq schedutil43.047.757.0intel_cpufreq performance45.054.165.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3107.73105.10107.39104.51
MinAvgMaxP-State powersave80229363405P-State performance290430103405intel_cpufreq schedutil230129763406intel_cpufreq performance289230143408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave93490623P-State performance188512623intel_cpufreq schedutil140492619intel_cpufreq performance171511631OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 12902 Joules per run.2. P-State performance: Approximate power consumption of 12977 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12784 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12430 Joules per run.
MinAvgMaxP-State powersave49.069.875.0P-State performance54.071.976.0intel_cpufreq schedutil52.070.276.0intel_cpufreq performance55.071.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 29.00, N = 4SE +/- 15.07, N = 4SE +/- 32.51, N = 4SE +/- 5.86, N = 42999.723014.772926.262978.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2468108.7457.7458.2207.784
MinAvgMaxP-State powersave80127613307P-State performance320232823403intel_cpufreq schedutil310232313405intel_cpufreq performance310532793403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave89.1343.0549.9P-State performance189.4389.2549.9intel_cpufreq schedutil121.9356.0540.0intel_cpufreq performance191.3382.7557.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 1715 Joules per run.2. P-State performance: Approximate power consumption of 1557 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1691 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1531 Joules per run.
MinAvgMaxP-State powersave50.062.373.0P-State performance57.061.668.0intel_cpufreq schedutil50.061.669.0intel_cpufreq performance59.066.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 333.81, N = 10SE +/- 89.79, N = 10SE +/- 233.06, N = 10SE +/- 209.39, N = 10116754.16120084.27117869.49120124.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150300450600750680.15412.87540.22427.24
MinAvgMaxP-State powersave80119413057P-State performance340034023404intel_cpufreq schedutil230030853404intel_cpufreq performance334833993405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave95.5171.7333.1P-State performance151.1290.9431.5intel_cpufreq schedutil78.8218.2471.0intel_cpufreq performance188.3281.2385.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1202403604806001. P-State powersave: Approximate power consumption of 343 Joules per run.2. P-State performance: Approximate power consumption of 465 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 393 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 450 Joules per run.
MinAvgMaxP-State powersave44.050.159.0P-State performance50.052.960.0intel_cpufreq schedutil46.051.761.0intel_cpufreq performance54.057.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150K300K450K600K750KSE +/- 5220.61, N = 3SE +/- 2267.77, N = 3SE +/- 2013.17, N = 3SE +/- 6399.11, N = 3682153663707672254677421
MinAvgMaxP-State powersave80230023210P-State performance303331343404intel_cpufreq schedutil303131383407intel_cpufreq performance302931433403OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave142.3503.7615.6P-State performance201.4519.2613.3intel_cpufreq schedutil188.1514.1611.8intel_cpufreq performance194.4518.9616.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 7220 Joules per run.2. P-State performance: Approximate power consumption of 7615 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7540 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7437 Joules per run.
MinAvgMaxP-State powersave55.071.174.0P-State performance56.072.175.0intel_cpufreq schedutil53.070.274.0intel_cpufreq performance56.073.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 318.9818.5018.7518.52
MinAvgMaxP-State powersave80129183404P-State performance294833463407intel_cpufreq schedutil80231343404intel_cpufreq performance304133643406OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave80.3259.4495.4P-State performance171.9313.3623.7intel_cpufreq schedutil65.1271.5488.7intel_cpufreq performance189.9301.5617.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 1556 Joules per run.2. P-State performance: Approximate power consumption of 1671 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1629 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1508 Joules per run.
MinAvgMaxP-State powersave43.052.063.0P-State performance52.056.268.0intel_cpufreq schedutil46.054.365.0intel_cpufreq performance52.057.367.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature Monitor20406080100

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.41, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 387.2189.0987.9989.49MIN: 69.09 / MAX: 97.86MIN: 70.73 / MAX: 97.89MIN: 70.3 / MAX: 98.24MIN: 71.05 / MAX: 98.17
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06910.13820.20730.27640.34550.3070.2910.3000.289
MinAvgMaxP-State powersave80130303404P-State performance266832153405intel_cpufreq schedutil110029953404intel_cpufreq performance269132333410OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave102.3284.4554.8P-State performance163.0305.7571.3intel_cpufreq schedutil128.2293.2576.1intel_cpufreq performance151.5310.0582.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 1801 Joules per run.2. P-State performance: Approximate power consumption of 1834 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1857 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1963 Joules per run.
MinAvgMaxP-State powersave52.056.466.0P-State performance54.057.567.0intel_cpufreq schedutil54.058.870.0intel_cpufreq performance55.058.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.08612.17223.25834.34445.4305SE +/- 0.041, N = 15SE +/- 0.036, N = 8SE +/- 0.014, N = 8SE +/- 0.019, N = 84.8274.7464.7104.7291. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80124103406P-State performance340334033404intel_cpufreq schedutil222633333403intel_cpufreq performance340334033404OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave119.5287.3496.8P-State performance193.7311.0390.8intel_cpufreq schedutil184.6297.3483.2intel_cpufreq performance194.1298.0490.6OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 575 Joules per run.2. P-State performance: Approximate power consumption of 622 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 632 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 596 Joules per run.
MinAvgMaxP-State powersave48.053.063.0P-State performance54.059.668.0intel_cpufreq schedutil49.053.563.0intel_cpufreq performance52.055.965.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 341.07, N = 9SE +/- 274.68, N = 3SE +/- 380.67, N = 7SE +/- 83.53, N = 3414214238941743423381. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200174.15163.09166.04160.57
MinAvgMaxP-State powersave80131653408P-State performance340334073413intel_cpufreq schedutil90833573409intel_cpufreq performance340334083435OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.2237.8275.4P-State performance181.0259.9289.3intel_cpufreq schedutil67.5251.4286.7intel_cpufreq performance183.3263.7291.9OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 3066 Joules per run.2. P-State performance: Approximate power consumption of 3292 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3232 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3340 Joules per run.
MinAvgMaxP-State powersave32.041.244.0P-State performance43.044.549.0intel_cpufreq schedutil34.054.764.0intel_cpufreq performance48.052.861.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor20406080100

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 58.56, N = 12SE +/- 25.12, N = 3SE +/- 65.66, N = 3SE +/- 24.06, N = 382128392833483801. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202519.4319.9219.6719.87
MinAvgMaxP-State powersave80129743005P-State performance294330043403intel_cpufreq schedutil294330083403intel_cpufreq performance294430123403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave138.0422.6516.0P-State performance190.2421.2500.4intel_cpufreq schedutil185.5423.7515.2intel_cpufreq performance155.3421.8507.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 11269 Joules per run.2. P-State performance: Approximate power consumption of 11654 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.
MinAvgMaxP-State powersave52.064.567.0P-State performance55.063.064.0intel_cpufreq schedutil54.063.865.0intel_cpufreq performance52.060.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 83.38, N = 7SE +/- 113.89, N = 8SE +/- 42.28, N = 8SE +/- 69.22, N = 839485.7240261.2639430.6640226.021. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150137.13116.28128.90117.69
MinAvgMaxP-State powersave80124403304P-State performance320033713404intel_cpufreq schedutil230131853404intel_cpufreq performance320233423403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave56.5287.9551.8P-State performance178.9346.2549.4intel_cpufreq schedutil70.7305.9510.9intel_cpufreq performance182.4341.8554.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 699 Joules per run.2. P-State performance: Approximate power consumption of 736 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 688 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 684 Joules per run.
MinAvgMaxP-State powersave41.049.661.0P-State performance48.057.867.0intel_cpufreq schedutil43.051.962.0intel_cpufreq performance52.057.164.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.01, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 52.872.932.882.93
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.009
MinAvgMaxP-State powersave80121203300P-State performance286133193404intel_cpufreq schedutil212530503403intel_cpufreq performance290032863404OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave71.7336.6551.4P-State performance159.5346.4561.4intel_cpufreq schedutil89.9324.7557.4intel_cpufreq performance179.4341.8560.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 1094 Joules per run.2. P-State performance: Approximate power consumption of 1247 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1218 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1230 Joules per run.
MinAvgMaxP-State powersave46.056.967.0P-State performance52.059.869.0intel_cpufreq schedutil50.059.872.0intel_cpufreq performance54.060.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 340.1440.6540.0740.831. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0760.0760.0760.077
MinAvgMaxP-State powersave80229883390P-State performance300230253403intel_cpufreq schedutil220030033403intel_cpufreq performance300230233403OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave101.0525.4566.6P-State performance192.8531.4567.4intel_cpufreq schedutil148.5526.9567.0intel_cpufreq performance185.0529.9567.5OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 24345 Joules per run.2. P-State performance: Approximate power consumption of 23737 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.
MinAvgMaxP-State powersave37.066.675.0P-State performance46.066.474.0intel_cpufreq schedutil43.067.076.0intel_cpufreq performance45.066.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 16.96, N = 3SE +/- 5.29, N = 15SE +/- 4.60, N = 15SE +/- 4.37, N = 32563.22561.82594.72609.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121510.9809.74010.93110.026
MinAvgMaxP-State powersave80132973408P-State performance340034043411intel_cpufreq schedutil100733113413intel_cpufreq performance340334043407OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.7233.5355.4P-State performance150.3263.0417.7intel_cpufreq schedutil67.8237.4377.1intel_cpufreq performance149.9260.3397.2OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor1102203304405501. P-State powersave: Approximate power consumption of 2801 Joules per run.2. P-State performance: Approximate power consumption of 3051 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2943 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3037 Joules per run.
MinAvgMaxP-State powersave33.042.555.0P-State performance46.048.159.0intel_cpufreq schedutil37.053.065.0intel_cpufreq performance46.047.353.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40M80M120M160M200MSE +/- 1103002.46, N = 3SE +/- 1592768.45, N = 3SE +/- 1451422.61, N = 15SE +/- 2150017.23, N = 31770311221771314281754461821786294741. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80K160K240K320K400K392264.24378389.79368173.69380770.10
MinAvgMaxP-State powersave80126523002P-State performance298731063406intel_cpufreq schedutil217330603404intel_cpufreq performance297431053405OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave90.8451.3621.5P-State performance201.4468.1625.2intel_cpufreq schedutil88.3476.5620.1intel_cpufreq performance194.9469.1622.5OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2858 Joules per run.2. P-State performance: Approximate power consumption of 2965 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3145 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2971 Joules per run.
MinAvgMaxP-State powersave47.065.874.0P-State performance49.066.173.0intel_cpufreq schedutil47.070.576.0intel_cpufreq performance53.069.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature Monitor20406080100

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 339.8239.4239.2039.751. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80128193406P-State performance280930113408intel_cpufreq schedutil112828803405intel_cpufreq performance280829973407OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave117449619P-State performance184457637intel_cpufreq schedutil139464629intel_cpufreq performance182463633OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 4491 Joules per run.2. P-State performance: Approximate power consumption of 4570 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4327 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4323 Joules per run.
MinAvgMaxP-State powersave46.066.675.0P-State performance52.069.176.0intel_cpufreq schedutil46.068.177.0intel_cpufreq performance50.069.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 2.36, N = 3SE +/- 0.44, N = 3SE +/- 1.89, N = 3SE +/- 0.29, N = 31961941941971. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4350.4340.440
MinAvgMaxP-State powersave80128803400P-State performance286629513404intel_cpufreq schedutil217729193404intel_cpufreq performance285529403404OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave99.4439.7539.2P-State performance156.5446.0541.2intel_cpufreq schedutil111.1447.2540.9intel_cpufreq performance204.1447.9541.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 11580 Joules per run.2. P-State performance: Approximate power consumption of 12042 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11924 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 11943 Joules per run.
MinAvgMaxP-State powersave51.066.774.0P-State performance54.068.174.0intel_cpufreq schedutil52.066.471.0intel_cpufreq performance49.063.568.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3129.27127.32127.69127.33
MinAvgMaxP-State powersave80128703404P-State performance277631083408intel_cpufreq schedutil180230713407intel_cpufreq performance277530973409OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave71.4379.5618.6P-State performance178.6430.6612.2intel_cpufreq schedutil79.9401.9622.4intel_cpufreq performance156.8431.5617.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 13916 Joules per run.2. P-State performance: Approximate power consumption of 13636 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 13664 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 13808 Joules per run.
MinAvgMaxP-State powersave42.062.077.0P-State performance50.066.080.0intel_cpufreq schedutil44.063.676.0intel_cpufreq performance51.066.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 2.02, N = 3SE +/- 5.43, N = 3SE +/- 5.29, N = 3SE +/- 0.73, N = 34804834834761. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.24120.48240.72360.96481.2061.0721.0631.0681.054
MinAvgMaxP-State powersave80229043007P-State performance293029923404intel_cpufreq schedutil292229753405intel_cpufreq performance292729963406OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave154.5447.7550.4P-State performance179.5454.5548.4intel_cpufreq schedutil124.6452.1549.9intel_cpufreq performance207.9451.6544.9OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 11939 Joules per run.2. P-State performance: Approximate power consumption of 12271 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.
MinAvgMaxP-State powersave54.068.172.0P-State performance57.068.673.0intel_cpufreq schedutil55.069.072.0intel_cpufreq performance51.061.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.381.401.381.40
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00090.00180.00270.00360.00450.0040.0040.0040.004
MinAvgMaxP-State powersave80121873299P-State performance285133133411intel_cpufreq schedutil230130893404intel_cpufreq performance280432473403OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave75.2357.4558.0P-State performance151.6384.8559.5intel_cpufreq schedutil92.3363.8561.6intel_cpufreq performance186.9380.7559.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 2145 Joules per run.2. P-State performance: Approximate power consumption of 2309 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2304 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2284 Joules per run.
MinAvgMaxP-State powersave45.060.372.0P-State performance52.061.372.0intel_cpufreq schedutil48.063.072.0intel_cpufreq performance53.062.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL, NVIDIA OptiX, and NVIDIA CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 372.1771.2772.2471.22
MinAvgMaxP-State powersave80128013400P-State performance277529303405intel_cpufreq schedutil220028563403intel_cpufreq performance277429183405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave98508636P-State performance164516627intel_cpufreq schedutil113508624intel_cpufreq performance195518638OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 8464 Joules per run.2. P-State performance: Approximate power consumption of 8775 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 8799 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 8631 Joules per run.
MinAvgMaxP-State powersave50.071.876.0P-State performance57.073.077.0intel_cpufreq schedutil52.072.578.0intel_cpufreq performance57.073.478.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance10002000300040005000SE +/- 10.80, N = 4SE +/- 24.52, N = 4SE +/- 36.10, N = 4SE +/- 11.74, N = 44538.694539.994510.294574.831. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.8712.1712.4612.33
MinAvgMaxP-State powersave80230513408P-State performance340334073437intel_cpufreq schedutil330033863408intel_cpufreq performance223333383433OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave151.4352.8502.8P-State performance193.5373.0497.4intel_cpufreq schedutil142.1362.1489.2intel_cpufreq performance162.2371.0504.1OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 1499 Joules per run.2. P-State performance: Approximate power consumption of 1492 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1539 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1577 Joules per run.
MinAvgMaxP-State powersave44.052.161.0P-State performance47.052.163.0intel_cpufreq schedutil46.050.962.0intel_cpufreq performance47.054.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor20406080100

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.058, N = 15SE +/- 0.078, N = 15SE +/- 0.044, N = 6SE +/- 0.076, N = 67.7107.8167.7127.7271. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80125483405P-State performance300032863411intel_cpufreq schedutil142031523403intel_cpufreq performance300032613404OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave55.0332.0522.3P-State performance150.9343.8499.3intel_cpufreq schedutil69.0316.0481.9intel_cpufreq performance189.0331.2492.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1302603905206501. P-State powersave: Approximate power consumption of 907 Joules per run.2. P-State performance: Approximate power consumption of 940 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 843 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 938 Joules per run.
MinAvgMaxP-State powersave39.054.863.0P-State performance52.057.664.0intel_cpufreq schedutil46.058.065.0intel_cpufreq performance54.059.264.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 411.1911.0611.2111.061. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMaxP-State powersave80226973075P-State performance300431773403intel_cpufreq schedutil300331523405intel_cpufreq performance300232053405OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave111.3393.9566.7P-State performance214.2429.1570.9intel_cpufreq schedutil180.2396.0567.6intel_cpufreq performance160.8422.8573.1OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 1575 Joules per run.2. P-State performance: Approximate power consumption of 1716 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1584 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1691 Joules per run.
MinAvgMaxP-State powersave46.056.966.0P-State performance51.060.466.0intel_cpufreq schedutil51.058.465.0intel_cpufreq performance52.060.965.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 4.94, N = 15SE +/- 9.19, N = 3SE +/- 8.19, N = 6SE +/- 2.06, N = 32711.62677.92693.42713.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.4811.1012.2011.31
MinAvgMaxP-State powersave80132883409P-State performance340334043409intel_cpufreq schedutil141633323409intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave69.3217.3300.8P-State performance150.3241.4314.1intel_cpufreq schedutil56.0220.9303.6intel_cpufreq performance179.5239.9319.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 2477 Joules per run.2. P-State performance: Approximate power consumption of 2655 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2503 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2639 Joules per run.
MinAvgMaxP-State powersave39.047.451.0P-State performance46.047.350.0intel_cpufreq schedutil44.049.953.0intel_cpufreq performance46.048.056.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor1632486480

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.038, N = 3SE +/- 0.048, N = 3SE +/- 0.035, N = 3SE +/- 0.011, N = 38.9999.0529.0429.1021. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00450.0090.01350.0180.02250.020.020.020.02
MinAvgMaxP-State powersave80228363400P-State performance290031413403intel_cpufreq schedutil223130643403intel_cpufreq performance290331643404OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave63445722P-State performance71461575intel_cpufreq schedutil178461571intel_cpufreq performance155465570OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 4893 Joules per run.2. P-State performance: Approximate power consumption of 5076 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 4914 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5119 Joules per run.
MinAvgMaxP-State powersave48.063.174.0P-State performance52.066.676.0intel_cpufreq schedutil53.067.476.0intel_cpufreq performance52.062.871.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature Monitor20406080100

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance816243240SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 335.5035.8335.7935.851. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0670.0670.0670.067
MinAvgMaxP-State powersave80229813204P-State performance300030183403intel_cpufreq schedutil300230153403intel_cpufreq performance300030183403OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave124.1531.5568.5P-State performance191.2535.5569.6intel_cpufreq schedutil149.4532.5567.5intel_cpufreq performance189.0534.9577.7OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 31360 Joules per run.2. P-State performance: Approximate power consumption of 31419 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.
MinAvgMaxP-State powersave48.071.275.0P-State performance49.071.076.0intel_cpufreq schedutil51.069.872.0intel_cpufreq performance50.072.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature Monitor20406080100

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3105.03104.76105.10104.271. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMaxP-State powersave80130533405P-State performance300231713413intel_cpufreq schedutil220931573405intel_cpufreq performance300231703409OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave81.1392.5569.6P-State performance153.9418.2568.3intel_cpufreq schedutil125.3401.3568.2intel_cpufreq performance172.9415.8568.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 16748 Joules per run.2. P-State performance: Approximate power consumption of 17286 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 16587 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.
MinAvgMaxP-State powersave44.060.875.0P-State performance46.062.474.0intel_cpufreq schedutil45.062.575.0intel_cpufreq performance46.062.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 12922117.13, N = 3SE +/- 2605762.84, N = 3SE +/- 1071343.91, N = 3SE +/- 5955109.85, N = 330739333333085100000308253333330967000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6650836.156607333.416576582.796658045.41
MinAvgMaxP-State powersave80128363000P-State performance295830713403intel_cpufreq schedutil295930713404intel_cpufreq performance295630693403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave157.2462.2625.0P-State performance196.5466.9607.3intel_cpufreq schedutil169.3468.7615.2intel_cpufreq performance196.4465.1607.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2465 Joules per run.2. P-State performance: Approximate power consumption of 2646 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2656 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2636 Joules per run.
MinAvgMaxP-State powersave52.069.775.0P-State performance55.070.574.0intel_cpufreq schedutil55.070.575.0intel_cpufreq performance55.069.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 10910901.79, N = 3SE +/- 6806124.69, N = 3SE +/- 4817445.15, N = 3SE +/- 5329477.77, N = 332701333333293000000329146666732934000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.5M3M4.5M6M7.5M6911581.207053355.327058626.646985743.48
MinAvgMaxP-State powersave80228733008P-State performance299030963405intel_cpufreq schedutil288030663403intel_cpufreq performance218330003408OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave101.4473.1582.5P-State performance148.2466.9588.2intel_cpufreq schedutil157.2466.3582.9intel_cpufreq performance168.0471.4579.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2681 Joules per run.2. P-State performance: Approximate power consumption of 2490 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2642 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2672 Joules per run.
MinAvgMaxP-State powersave47.067.473.0P-State performance51.068.074.0intel_cpufreq schedutil49.067.974.0intel_cpufreq performance53.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3810.3110.3110.31MIN: 8.06 / MAX: 10.53MIN: 8.33 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.26 / MAX: 10.75
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00540.01080.01620.02160.0270.0240.0230.0230.023
MinAvgMaxP-State powersave80126043400P-State performance251128553403intel_cpufreq schedutil217528033403intel_cpufreq performance251028153404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave142.0430.1597.4P-State performance160.8444.9606.8intel_cpufreq schedutil164.3440.0605.9intel_cpufreq performance189.9449.5597.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 3011 Joules per run.2. P-State performance: Approximate power consumption of 2966 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2933 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2847 Joules per run.
MinAvgMaxP-State powersave48.064.673.0P-State performance53.067.474.0intel_cpufreq schedutil53.067.775.0intel_cpufreq performance54.067.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 310.4210.4510.3810.42MIN: 7.69 / MAX: 10.64MIN: 7.94 / MAX: 10.75MIN: 7.69 / MAX: 10.53MIN: 7.14 / MAX: 10.64
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00720.01440.02160.02880.0360.0320.0310.0310.030
MinAvgMaxP-State powersave80228933405P-State performance252531113407intel_cpufreq schedutil230229873406intel_cpufreq performance252231013404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59.2323.6599.8P-State performance149.2340.5585.7intel_cpufreq schedutil73.2331.0607.4intel_cpufreq performance155.3347.7589.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 3775 Joules per run.2. P-State performance: Approximate power consumption of 3859 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3752 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4057 Joules per run.
MinAvgMaxP-State powersave43.055.869.0P-State performance48.057.870.0intel_cpufreq schedutil45.058.972.0intel_cpufreq performance50.059.572.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06130.12260.18390.24520.3065SE +/- 0.00040, N = 3SE +/- 0.00055, N = 3SE +/- 0.00043, N = 3SE +/- 0.00021, N = 30.270930.271680.272270.27051
MinAvgMaxP-State powersave80128833010P-State performance294631243403intel_cpufreq schedutil294230943404intel_cpufreq performance292231153403OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave129477647P-State performance189456636intel_cpufreq schedutil145429609intel_cpufreq performance162459635OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 3813 Joules per run.2. P-State performance: Approximate power consumption of 2280 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2288 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2449 Joules per run.
MinAvgMaxP-State powersave51.066.970.0P-State performance54.065.369.0intel_cpufreq schedutil51.063.469.0intel_cpufreq performance54.065.470.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 139.83, N = 3SE +/- 159.72, N = 4SE +/- 142.93, N = 3SE +/- 55.17, N = 491313.6091817.7691642.3391830.561. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250220.93203.56223.98201.24
MinAvgMaxP-State powersave80229893302P-State performance310232703404intel_cpufreq schedutil180131143403intel_cpufreq performance310332413403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave95.4413.3571.9P-State performance193.4451.1596.8intel_cpufreq schedutil94.7409.2564.8intel_cpufreq performance191.4456.3597.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2067 Joules per run.2. P-State performance: Approximate power consumption of 2255 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2182 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2282 Joules per run.
MinAvgMaxP-State powersave46.060.068.0P-State performance55.066.773.0intel_cpufreq schedutil45.060.669.0intel_cpufreq performance54.067.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4008001200160020001882.31888.21880.01882.21. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
MinAvgMaxP-State powersave80130073409P-State performance300330173409intel_cpufreq schedutil230030153409intel_cpufreq performance300330183409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave82.9514.5622.8P-State performance213.6516.6576.3intel_cpufreq schedutil130.4515.2593.0intel_cpufreq performance213.9516.6594.5OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor160320480640800
MinAvgMaxP-State powersave52.072.478.0P-State performance55.070.579.0intel_cpufreq schedutil53.070.576.0intel_cpufreq performance58.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature Monitor20406080100

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400SE +/- 1.16, N = 3SE +/- 1.34, N = 3SE +/- 1.38, N = 3SE +/- 1.39, N = 3350.27349.99349.44349.031. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
MinAvgMaxP-State powersave80129653200P-State performance294130073403intel_cpufreq schedutil150129893403intel_cpufreq performance290830023403OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave66.9530.9618.2P-State performance169.7535.5615.0intel_cpufreq schedutil65.2534.0616.2intel_cpufreq performance150.2534.9618.2OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 43004 Joules per run.2. P-State performance: Approximate power consumption of 43372 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.
MinAvgMaxP-State powersave32.067.977.0P-State performance49.068.076.0intel_cpufreq schedutil37.067.376.0intel_cpufreq performance50.067.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature Monitor20406080100

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.52, N = 3104.34104.19104.18104.091. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80232773406P-State performance300033343408intel_cpufreq schedutil230333053406intel_cpufreq performance300033243410OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave82.7251.2526.1P-State performance149.6264.0525.2intel_cpufreq schedutil102.4256.6517.5intel_cpufreq performance179.6264.8537.0OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 6363 Joules per run.2. P-State performance: Approximate power consumption of 6600 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6501 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6532 Joules per run.
MinAvgMaxP-State powersave47.054.665.0P-State performance47.052.462.0intel_cpufreq schedutil47.056.067.0intel_cpufreq performance45.051.162.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120K240K360K480K600KSE +/- 1289.77, N = 3SE +/- 2262.00, N = 3SE +/- 1875.50, N = 3SE +/- 491.89, N = 3572065572149571632572679
MinAvgMaxP-State powersave80129023050P-State performance300330593403intel_cpufreq schedutil240230383404intel_cpufreq performance300530683403OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave149511635P-State performance152516640intel_cpufreq schedutil133512626intel_cpufreq performance154517637OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor20040060080010001. P-State powersave: Approximate power consumption of 7330 Joules per run.2. P-State performance: Approximate power consumption of 7402 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7336 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7237 Joules per run.
MinAvgMaxP-State powersave50.072.077.0P-State performance54.071.776.0intel_cpufreq schedutil49.069.573.0intel_cpufreq performance52.071.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10K9892.429885.569889.919875.261. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterWRF 4.2.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 938 / Avg: 3009.34 / Max: 3537Min: 2953 / Avg: 3010.99 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 2950 / Avg: 3010.05 / Max: 3403
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 153.97 / Avg: 535.42 / Max: 576.31Min: 152.56 / Avg: 535.01 / Max: 577.46
OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 67.24 / Max: 74Min: 55 / Avg: 70.13 / Max: 74Min: 55 / Avg: 69.28 / Max: 74

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3290.41290.14290.42289.981. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMaxP-State powersave80129693313P-State performance300230193403intel_cpufreq schedutil221330143403intel_cpufreq performance300230193403OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave138.7530.0567.2P-State performance185.0533.6582.5intel_cpufreq schedutil95.3533.2570.3intel_cpufreq performance180.8533.5577.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 37451 Joules per run.2. P-State performance: Approximate power consumption of 37349 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.
MinAvgMaxP-State powersave49.065.874.0P-State performance50.068.273.0intel_cpufreq schedutil48.067.174.0intel_cpufreq performance50.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 15.87 / MAX: 29.41MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57MIN: 17.54 / MAX: 29.41
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0750.0720.0770.071
MinAvgMaxP-State powersave80123703400P-State performance247329913404intel_cpufreq schedutil251429713403intel_cpufreq performance250830323405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.6368.0608.4P-State performance189.3387.6594.0intel_cpufreq schedutil81.8361.3543.3intel_cpufreq performance152.7394.0593.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 1251 Joules per run.2. P-State performance: Approximate power consumption of 1240 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1156 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1261 Joules per run.
MinAvgMaxP-State powersave45.058.969.0P-State performance52.063.371.0intel_cpufreq schedutil47.060.870.0intel_cpufreq performance54.063.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 13.7 / MAX: 19.23MIN: 13.89 / MAX: 19.61MIN: 12.2 / MAX: 19.23MIN: 12.99 / MAX: 19.61
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01150.0230.03450.0460.05750.0510.0470.0480.046
MinAvgMaxP-State powersave80124263400P-State performance252530003407intel_cpufreq schedutil220229493404intel_cpufreq performance251730703408OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave67.5367.6594.2P-State performance151.3403.8607.2intel_cpufreq schedutil68.1393.1604.2intel_cpufreq performance206.0414.6603.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 1654 Joules per run.2. P-State performance: Approximate power consumption of 1716 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1769 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1762 Joules per run.
MinAvgMaxP-State powersave33.053.466.0P-State performance48.060.070.0intel_cpufreq schedutil37.057.870.0intel_cpufreq performance48.061.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 28 / Avg: 58.72 / Max: 79Min: 36 / Avg: 62.03 / Max: 80Min: 28 / Avg: 59.65 / Max: 78Min: 36 / Avg: 63.47 / Max: 78

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance130260390520650Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.9 / Avg: 368.68 / Max: 634.98Min: 137.84 / Avg: 417.23 / Max: 641.13

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2883.69 / Max: 3537Min: 2195 / Avg: 3186.64 / Max: 3518Min: 801 / Avg: 3003.21 / Max: 3442Min: 2162 / Avg: 3195.19 / Max: 3483

PostgreSQL pgbench

MinAvgMaxP-State powersave39.050.866.0P-State performance45.048.562.0intel_cpufreq schedutil41.051.365.0intel_cpufreq performance49.055.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave55.0231.4606.4P-State performance161.8257.1600.0intel_cpufreq schedutil65.3245.6612.1intel_cpufreq performance148.8257.7600.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

MinAvgMaxP-State powersave80130223437P-State performance300033663407intel_cpufreq schedutil95833173442intel_cpufreq performance219033563436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06480.12960.19440.25920.324SE +/- 0.002, N = 15SE +/- 0.003, N = 3SE +/- 0.005, N = 15SE +/- 0.006, N = 150.2770.2710.2850.2881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80130223437P-State performance300033663407intel_cpufreq schedutil95833173442intel_cpufreq performance219033563436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave55.0231.4606.4P-State performance161.8257.1600.0intel_cpufreq schedutil65.3245.6612.1intel_cpufreq performance148.8257.7600.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 5970 Joules per run.2. P-State performance: Approximate power consumption of 6428 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6189 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6374 Joules per run.
MinAvgMaxP-State powersave39.050.866.0P-State performance45.048.562.0intel_cpufreq schedutil41.051.365.0intel_cpufreq performance49.055.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance200K400K600K800K1000KSE +/- 7359.52, N = 15SE +/- 9754.80, N = 3SE +/- 15445.86, N = 15SE +/- 16646.22, N = 159064349241908853798764621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

MinAvgMaxP-State powersave39.045.355.0P-State performance45.048.663.0intel_cpufreq schedutil37.047.162.0intel_cpufreq performance50.054.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave55.2180.9370.2P-State performance150.4256.1607.4intel_cpufreq schedutil68.6244.4617.1intel_cpufreq performance148.4260.2604.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

MinAvgMaxP-State powersave80128213436P-State performance300033553413intel_cpufreq schedutil165233023405intel_cpufreq performance300033623441OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.05760.11520.17280.23040.288SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.2560.0810.0810.0811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxP-State powersave80128213436P-State performance300033553413intel_cpufreq schedutil165233023405intel_cpufreq performance300033623441OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave55.2180.9370.2P-State performance150.4256.1607.4intel_cpufreq schedutil68.6244.4617.1intel_cpufreq performance148.4260.2604.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 4704 Joules per run.2. P-State performance: Approximate power consumption of 6232 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 6110 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6506 Joules per run.
MinAvgMaxP-State powersave39.045.355.0P-State performance45.048.663.0intel_cpufreq schedutil37.047.162.0intel_cpufreq performance50.054.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance300K600K900K1200K1500KSE +/- 8388.30, N = 15SE +/- 5304.66, N = 3SE +/- 11834.71, N = 3SE +/- 3615.78, N = 33933291236713122857012319831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Liquid-DSP

MinAvgMaxP-State powersave44.065.974.0P-State performance53.068.274.0intel_cpufreq schedutil45.065.976.0intel_cpufreq performance53.064.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave57.2448.6567.9P-State performance178.1479.6584.3intel_cpufreq schedutil75.6466.6591.2intel_cpufreq performance212.4477.3581.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800

MinAvgMaxP-State powersave80128433300P-State performance310232143404intel_cpufreq schedutil182332163407intel_cpufreq performance310032423403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6754065.396392760.376436493.636437714.60

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 19182283.49, N = 3SE +/- 5500404.03, N = 3SE +/- 69564540.69, N = 12SE +/- 8774394.57, N = 330299000003066133333300312500030726000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6754065.396392760.376436493.636437714.60
MinAvgMaxP-State powersave80128433300P-State performance310232143404intel_cpufreq schedutil182332163407intel_cpufreq performance310032423403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave57.2448.6567.9P-State performance178.1479.6584.3intel_cpufreq schedutil75.6466.6591.2intel_cpufreq performance212.4477.3581.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor1603204806408001. P-State powersave: Approximate power consumption of 2692 Joules per run.2. P-State performance: Approximate power consumption of 2718 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 2644 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2705 Joules per run.
MinAvgMaxP-State powersave44.065.974.0P-State performance53.068.274.0intel_cpufreq schedutil45.065.976.0intel_cpufreq performance53.064.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

PJSIP

MinAvgMaxP-State powersave32.033.739.0P-State performance44.046.449.0intel_cpufreq schedutil32.036.655.0intel_cpufreq performance51.053.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

MinAvgMaxP-State powersave59.1103.7116.6P-State performance166.8231.8281.1intel_cpufreq schedutil60.9107.6231.7intel_cpufreq performance184.2235.0256.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350

MinAvgMaxP-State powersave8019633400P-State performance340034043409intel_cpufreq schedutil80117383403intel_cpufreq performance340334053414OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance61218243024.5823.2723.6223.05

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance12002400360048006000SE +/- 29.86, N = 15SE +/- 7.17, N = 3SE +/- 50.72, N = 15SE +/- 15.21, N = 325485393254054161. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance61218243024.5823.2723.6223.05
MinAvgMaxP-State powersave8019633400P-State performance340034043409intel_cpufreq schedutil80117383403intel_cpufreq performance340334053414OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave59.1103.7116.6P-State performance166.8231.8281.1intel_cpufreq schedutil60.9107.6231.7intel_cpufreq performance184.2235.0256.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 1707 Joules per run.2. P-State performance: Approximate power consumption of 3863 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1800 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 3917 Joules per run.
MinAvgMaxP-State powersave32.033.739.0P-State performance44.046.449.0intel_cpufreq schedutil32.036.655.0intel_cpufreq performance51.053.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

libavif avifenc

MinAvgMaxP-State powersave36.039.150.0P-State performance44.045.346.0intel_cpufreq schedutil38.040.743.0intel_cpufreq performance47.049.552.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave61.8132.4209.6P-State performance174.7208.8243.2intel_cpufreq schedutil71.0148.0226.2intel_cpufreq performance176.2208.8247.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

MinAvgMaxP-State powersave80125453404P-State performance340334033404intel_cpufreq schedutil80231133405intel_cpufreq performance340334043408OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.141, N = 15SE +/- 0.031, N = 6SE +/- 0.124, N = 15SE +/- 0.040, N = 68.8337.2488.4867.2761. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80125453404P-State performance340334033404intel_cpufreq schedutil80231133405intel_cpufreq performance340334043408OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave61.8132.4209.6P-State performance174.7208.8243.2intel_cpufreq schedutil71.0148.0226.2intel_cpufreq performance176.2208.8247.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. P-State powersave: Approximate power consumption of 406 Joules per run.2. P-State performance: Approximate power consumption of 557 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 434 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 592 Joules per run.
MinAvgMaxP-State powersave36.039.150.0P-State performance44.045.346.0intel_cpufreq schedutil38.040.743.0intel_cpufreq performance47.049.552.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave38.041.746.0P-State performance46.047.749.0intel_cpufreq schedutil40.045.451.0intel_cpufreq performance52.054.156.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

MinAvgMaxP-State powersave62.5127.9203.2P-State performance154.9207.2244.0intel_cpufreq schedutil58.2142.6217.8intel_cpufreq performance149.6209.4244.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

MinAvgMaxP-State powersave80124983404P-State performance340334043410intel_cpufreq schedutil80228523404intel_cpufreq performance340334053410OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.17112.34223.51334.68445.8555SE +/- 0.099, N = 15SE +/- 0.014, N = 8SE +/- 0.066, N = 15SE +/- 0.013, N = 85.2054.3415.1344.3401. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxP-State powersave80124983404P-State performance340334043410intel_cpufreq schedutil80228523404intel_cpufreq performance340334053410OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave62.5127.9203.2P-State performance154.9207.2244.0intel_cpufreq schedutil58.2142.6217.8intel_cpufreq performance149.6209.4244.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor601201802403001. P-State powersave: Approximate power consumption of 273 Joules per run.2. P-State performance: Approximate power consumption of 388 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 304 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 393 Joules per run.
MinAvgMaxP-State powersave38.041.746.0P-State performance46.047.749.0intel_cpufreq schedutil40.045.451.0intel_cpufreq performance52.054.156.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

AOM AV1

MinAvgMaxP-State powersave31.035.541.0P-State performance45.051.662.0intel_cpufreq schedutil34.042.858.0intel_cpufreq performance45.047.253.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave54.6125.5223.4P-State performance203.7301.4346.5intel_cpufreq schedutil64.3160.5249.6intel_cpufreq performance188.6303.1339.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor100200300400500

MinAvgMaxP-State powersave80122633318P-State performance340034043434intel_cpufreq schedutil90829633409intel_cpufreq performance340334043409OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00740.01480.02220.02960.0370.0310.0320.0250.033

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 12SE +/- 0.09, N = 33.949.694.0010.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00740.01480.02220.02960.0370.0310.0320.0250.033
MinAvgMaxP-State powersave80122633318P-State performance340034043434intel_cpufreq schedutil90829633409intel_cpufreq performance340334043409OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.6125.5223.4P-State performance203.7301.4346.5intel_cpufreq schedutil64.3160.5249.6intel_cpufreq performance188.6303.1339.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor1002003004005001. P-State powersave: Approximate power consumption of 6106 Joules per run.2. P-State performance: Approximate power consumption of 6531 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 7958 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 6467 Joules per run.
MinAvgMaxP-State powersave31.035.541.0P-State performance45.051.662.0intel_cpufreq schedutil34.042.858.0intel_cpufreq performance45.047.253.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

Rodinia

MinAvgMaxP-State powersave43.050.559.0P-State performance57.071.678.0intel_cpufreq schedutil46.055.966.0intel_cpufreq performance58.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave71.3180.5301.3P-State performance191.0348.5420.4intel_cpufreq schedutil59.9223.2369.5intel_cpufreq performance157.2348.3425.7OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550

MinAvgMaxP-State powersave80123583401P-State performance323334033414intel_cpufreq schedutil144426853413intel_cpufreq performance340034043417OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075SE +/- 0.69, N = 6SE +/- 0.64, N = 12SE +/- 1.35, N = 15SE +/- 0.69, N = 1569.0546.3663.2947.111. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxP-State powersave80123583401P-State performance323334033414intel_cpufreq schedutil144426853413intel_cpufreq performance340034043417OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave71.3180.5301.3P-State performance191.0348.5420.4intel_cpufreq schedutil59.9223.2369.5intel_cpufreq performance157.2348.3425.7OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor1102203304405501. P-State powersave: Approximate power consumption of 3129 Joules per run.2. P-State performance: Approximate power consumption of 4066 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 3542 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 4179 Joules per run.
MinAvgMaxP-State powersave43.050.559.0P-State performance57.071.678.0intel_cpufreq schedutil46.055.966.0intel_cpufreq performance58.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Darmstadt Automotive Parallel Heterogeneous Suite

MinAvgMaxP-State powersave35.038.641.0P-State performance46.048.249.0intel_cpufreq schedutil40.044.348.0intel_cpufreq performance47.049.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

MinAvgMaxP-State powersave54.6167.0233.4P-State performance149.0234.2277.2intel_cpufreq schedutil73.0171.9241.8intel_cpufreq performance148.3233.7287.4OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor70140210280350

MinAvgMaxP-State powersave80128203406P-State performance340334043407intel_cpufreq schedutil80128383406intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.99991.99982.99973.99964.99954.4443.9484.3223.913

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 18.61, N = 15SE +/- 4.79, N = 3SE +/- 19.99, N = 14SE +/- 4.97, N = 3742.30924.84743.01914.701. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.99991.99982.99973.99964.99954.4443.9484.3223.913
MinAvgMaxP-State powersave80128203406P-State performance340334043407intel_cpufreq schedutil80128383406intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave54.6167.0233.4P-State performance149.0234.2277.2intel_cpufreq schedutil73.0171.9241.8intel_cpufreq performance148.3233.7287.4OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor701402102803501. P-State powersave: Approximate power consumption of 1314 Joules per run.2. P-State performance: Approximate power consumption of 1484 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.
MinAvgMaxP-State powersave35.038.641.0P-State performance46.048.249.0intel_cpufreq schedutil40.044.348.0intel_cpufreq performance47.049.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

ONNX Runtime

MinAvgMaxP-State powersave50.064.870.0P-State performance54.065.167.0intel_cpufreq schedutil53.066.670.0intel_cpufreq performance53.068.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave134.9446.2551.9P-State performance154.6448.2538.5intel_cpufreq schedutil171.1451.4550.5intel_cpufreq performance182.9451.8550.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

MinAvgMaxP-State powersave80129673401P-State performance300030253407intel_cpufreq schedutil220230183403intel_cpufreq performance300030283404OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.25670.51340.77011.02681.28351.1411.0641.1171.113

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550SE +/- 10.98, N = 9SE +/- 2.17, N = 3SE +/- 8.53, N = 12SE +/- 6.15, N = 125094775045031. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.25670.51340.77011.02681.28351.1411.0641.1171.113
MinAvgMaxP-State powersave80129673401P-State performance300030253407intel_cpufreq schedutil220230183403intel_cpufreq performance300030283404OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave134.9446.2551.9P-State performance154.6448.2538.5intel_cpufreq schedutil171.1451.4550.5intel_cpufreq performance182.9451.8550.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 11899 Joules per run.2. P-State performance: Approximate power consumption of 12400 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12300 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12312 Joules per run.
MinAvgMaxP-State powersave50.064.870.0P-State performance54.065.167.0intel_cpufreq schedutil53.066.670.0intel_cpufreq performance53.068.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave53.067.372.0P-State performance52.070.575.0intel_cpufreq schedutil52.070.675.0intel_cpufreq performance50.066.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave116.2460.3567.1P-State performance187.4459.1563.8intel_cpufreq schedutil196.6462.3560.9intel_cpufreq performance175.7462.8568.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

MinAvgMaxP-State powersave80129873006P-State performance300030223406intel_cpufreq schedutil300030133405intel_cpufreq performance300030233403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4812162014.9914.4314.6215.03

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance15003000450060007500SE +/- 205.17, N = 12SE +/- 200.91, N = 12SE +/- 210.11, N = 12SE +/- 156.45, N = 1268986626675669551. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4812162014.9914.4314.6215.03
MinAvgMaxP-State powersave80129873006P-State performance300030223406intel_cpufreq schedutil300030133405intel_cpufreq performance300030233403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave116.2460.3567.1P-State performance187.4459.1563.8intel_cpufreq schedutil196.6462.3560.9intel_cpufreq performance175.7462.8568.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor1402804205607001. P-State powersave: Approximate power consumption of 12351 Joules per run.2. P-State performance: Approximate power consumption of 12663 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12713 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12727 Joules per run.
MinAvgMaxP-State powersave53.067.372.0P-State performance52.070.575.0intel_cpufreq schedutil52.070.675.0intel_cpufreq performance50.066.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ArrayFire

MinAvgMaxP-State powersave38.041.644.0P-State performance46.047.254.0intel_cpufreq schedutil42.044.848.0intel_cpufreq performance46.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

MinAvgMaxP-State powersave89.3183.1264.3P-State performance160.3246.2325.3intel_cpufreq schedutil136.6221.0305.9intel_cpufreq performance153.7243.0320.9OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor80160240320400

MinAvgMaxP-State powersave80125703405P-State performance340334043408intel_cpufreq schedutil230332843405intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.067, N = 15SE +/- 0.068, N = 15SE +/- 0.088, N = 15SE +/- 0.128, N = 154.2926.1316.4544.0051. (CXX) g++ options: -rdynamic
MinAvgMaxP-State powersave80125703405P-State performance340334043408intel_cpufreq schedutil230332843405intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave89.3183.1264.3P-State performance160.3246.2325.3intel_cpufreq schedutil136.6221.0305.9intel_cpufreq performance153.7243.0320.9OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor801602403204001. P-State powersave: Approximate power consumption of 342 Joules per run.2. P-State performance: Approximate power consumption of 476 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 427 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 454 Joules per run.
MinAvgMaxP-State powersave38.041.644.0P-State performance46.047.254.0intel_cpufreq schedutil42.044.848.0intel_cpufreq performance46.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

NAS Parallel Benchmarks

MinAvgMaxP-State powersave39.045.053.0P-State performance53.056.067.0intel_cpufreq schedutil41.046.655.0intel_cpufreq performance52.055.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

MinAvgMaxP-State powersave68.7142.0325.6P-State performance166.2274.7393.6intel_cpufreq schedutil103.0198.4382.4intel_cpufreq performance175.0266.5346.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

MinAvgMaxP-State powersave80118763000P-State performance311033813410intel_cpufreq schedutil197128763404intel_cpufreq performance340034033409OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405042.6227.7031.0428.91

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance17003400510068008500SE +/- 109.82, N = 12SE +/- 165.19, N = 15SE +/- 121.94, N = 15SE +/- 128.21, N = 156051.907610.186157.587705.441. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405042.6227.7031.0428.91
MinAvgMaxP-State powersave80118763000P-State performance311033813410intel_cpufreq schedutil197128763404intel_cpufreq performance340034033409OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000
MinAvgMaxP-State powersave68.7142.0325.6P-State performance166.2274.7393.6intel_cpufreq schedutil103.0198.4382.4intel_cpufreq performance175.0266.5346.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor1102203304405501. P-State powersave: Approximate power consumption of 284 Joules per run.2. P-State performance: Approximate power consumption of 440 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 383 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 409 Joules per run.
MinAvgMaxP-State powersave39.045.053.0P-State performance53.056.067.0intel_cpufreq schedutil41.046.655.0intel_cpufreq performance52.055.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

149 Results Shown

Zstd Compression
Kvazaar
AOM AV1:
  Speed 6 Realtime - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
PostgreSQL pgbench:
  1000 - 250 - Read Write - Average Latency
  1000 - 250 - Read Write
AOM AV1
PJSIP
PostgreSQL pgbench:
  1000 - 100 - Read Write - Average Latency
  1000 - 100 - Read Write
Kvazaar
SVT-HEVC
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
Darmstadt Automotive Parallel Heterogeneous Suite
SVT-AV1
SVT-HEVC
Timed Godot Game Engine Compilation
OpenVKL:
  vklBenchmarkStructuredVolume
  vklBenchmarkVdbVolume
libavif avifenc
Darmstadt Automotive Parallel Heterogeneous Suite
OpenVKL
TensorFlow Lite
Timed Linux Kernel Compilation
OSPray
Timed Node.js Compilation
Embree
NAS Parallel Benchmarks
OSPray
NAS Parallel Benchmarks:
  SP.B
  LU.C
Zstd Compression
Quantum ESPRESSO
Zstd Compression
Intel Open Image Denoise
Blender
Embree
Timed LLVM Compilation
OpenFOAM
NAS Parallel Benchmarks
OpenVKL
NAS Parallel Benchmarks
OSPray
Blender
NAS Parallel Benchmarks:
  IS.D
  MG.C
TensorFlow Lite
Timed Mesa Compilation
Embree
Rodinia
PJSIP
ONNX Runtime
NAS Parallel Benchmarks
Intel Open Image Denoise
High Performance Conjugate Gradient
Zstd Compression
Stockfish
Rodinia
ONNX Runtime
Timed LLVM Compilation
ONNX Runtime
Intel Open Image Denoise
Blender
ArrayFire
Rodinia
Xcompact3d Incompact3d
Zstd Compression
GROMACS
LAMMPS Molecular Dynamics Simulator
OpenFOAM
Liquid-DSP:
  160 - 256 - 57
  128 - 256 - 57
OSPray:
  XFrog Forest - Path Tracer
  San Miguel - Path Tracer
NAMD
NAS Parallel Benchmarks
NWChem
RELION
Rodinia
TensorFlow Lite
WRF
Xcompact3d Incompact3d
OSPray:
  NASA Streamlines - Path Tracer
  XFrog Forest - SciVis
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
PostgreSQL pgbench:
  1000 - 250 - Read Only - Average Latency
  1000 - 250 - Read Only
PostgreSQL pgbench:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
PostgreSQL pgbench:
  1000 - 100 - Read Only - Average Latency
  1000 - 100 - Read Only
Liquid-DSP:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  64 - 256 - 57
Liquid-DSP
PJSIP:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  INVITE
PJSIP
libavif avifenc:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
libavif avifenc
libavif avifenc:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
libavif avifenc
AOM AV1:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Speed 6 Two-Pass - Bosphorus 4K
AOM AV1
Rodinia:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Rodinia
Darmstadt Automotive Parallel Heterogeneous Suite:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  OpenMP - NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
ONNX Runtime:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  bertsquad-10 - OpenMP CPU
ONNX Runtime
ONNX Runtime:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  super-resolution-10 - OpenMP CPU
ONNX Runtime
ArrayFire:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
ArrayFire
NAS Parallel Benchmarks:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  EP.C
NAS Parallel Benchmarks

P-State powersave

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 23 May 2021 12:11 by user root.

P-State performance

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 24 May 2021 05:21 by user root.

intel_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 24 May 2021 17:18 by user root.

intel_cpufreq performance

Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 16 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP

OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 May 2021 09:25 by user root.